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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

Ergebnis der Suche nach: "Machine Learning"
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36871 - 36880 von 37151

	36871	Using of Machine Learning Capabilities to Predict Double Phosphate Structures for Biomedical Applications Enthalten in Journal of surface investigation Bd. 18, 15.7.2024, Nr. 3, date:6.2024: 633-640
	36872	USING OPEN DATA CUBE ON THE CLOUD TO INVESTIGATE FOOD SECURITY BY MEANS OF CROPLAND CHANGES IN DJIBOUTI Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1039-1044. 6 S.
	36873	Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms Enthalten in Water resources management Bd. 36, 17.1.2022, Nr. 2, date:1.2022: 699-716
	36874	Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-2-2024, 2024: 17-24. 8 S.
	36875	Using prognostic signatures and machine learning to identify core features associated with response to CDK4/6 inhibitor-based therapy in metastatic breast cancer Enthalten in Oncogene Bd. 44, 26.2.2025, Nr. 19, date:5.2025: 1387-1399
	36876	Using published pathway figures in enrichment analysis and machine learning Enthalten in BMC genomics Bd. 24, 25.11.2023, Nr. 1, date:12.2023: 1-13
	36877	Using quantum atomics and machine learning to advance picotechnology Enthalten in Theoretical chemistry accounts Bd. 143, 26.9.2024, Nr. 10, date:10.2024: 1-9
	36878	Using remote sensing data for geological mapping in semi-arid environment: a machine learning approach Enthalten in Earth science informatics Bd. 15, 3.2.2022, Nr. 1, date:3.2022: 485-496
	36879	Using remote sensing, process-based crop models, and machine learning to evaluate crop rotations across 20 million hectares in Western Australia Enthalten in Agronomy for sustainable development Bd. 42, 12.12.2022, Nr. 6, date:12.2022: 1-14
	36880	Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content Enthalten in Scientific reports Bd. 14, 15.4.2024, Nr. 1, date:12.2024: 1-14

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